Datasets:
id stringlengths 45 127 | suite stringclasses 4
values | task stringclasses 38
values | demo stringclasses 20
values | mode stringclasses 1
value | slot stringclasses 1
value | category stringclasses 1
value | category_name stringclasses 1
value | tier stringclasses 1
value | solution stringclasses 1
value | data_amount stringclasses 1
value | verdict stringclasses 1
value | right bool 1
class | reason_available bool 1
class | label_reason stringclasses 13
values | circle_ok bool 1
class | arrow_ok bool 1
class | caption_ok bool 1
class | consistency_ok bool 1
class | sufficient_ok bool 2
classes | severity float32 1 1 | caption stringclasses 9
values | caption_level stringclasses 2
values | n_referents int32 1 7 | n_destinations int32 1 3 | n_readings int32 1 18 | resolved_by stringclasses 1
value | grounding_kind stringclasses 1
value | circle_json stringlengths 51 80 | rendered_n_referents int32 1 7 | rendered_n_destinations int32 1 4 | rendered_n_readings int32 1 18 | render_verified bool 1
class | arrow_json stringlengths 102 109 | note stringclasses 103
values | source_frame stringlengths 68 150 | name_explicit bool 1
class | image dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate/demo_1/C1#0 | spatial | 00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate | demo_1 | C1 | C1 | C | Cross-modal consistency | hard | vlm | curated | wrong | false | true | wrong because the visual and language channels are inconsistent | true | true | true | false | true | 1 | pick up this | L2 | 1 | 1 | 1 | ref=circle,dst=arrow-head | {"cx": 0.3671875, "cy": 0.565234363079071, "r": 0.13371307373046876} | 1 | 1 | 1 | true | {"x0": 0.7202568481086095, "y0": 0.37092305345389287, "x1": 0.7451405151468428, "y1": 0.24860055643873358} | circle on flat_stove_1 but arrow originates at akita_black_bowl_1 — each channel plausible alone | extracted/spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate/demo_1/frames/t0_rgb.png | false | {
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spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate/demo_1/C1#1 | spatial | 00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate | demo_1 | C1 | C1 | C | Cross-modal consistency | hard | vlm | curated | wrong | false | true | wrong because the visual and language channels are inconsistent | true | true | true | false | true | 1 | put this over there | L3 | 1 | 1 | 1 | ref=circle,dst=arrow-head | {"cx": 0.11087328940629959, "cy": 0.4013538062572479, "r": 0.2878306865692139} | 1 | 1 | 1 | true | {"x0": 0.7202568481086095, "y0": 0.37092305345389287, "x1": 0.7451405151468428, "y1": 0.24860055643873358} | circle on wooden_cabinet_1 but arrow originates at akita_black_bowl_1 — each channel plausible alone | extracted/spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate/demo_1/frames/t0_rgb.png | false | {
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spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate/demo_10/C1#0 | spatial | 00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate | demo_10 | C1 | C1 | C | Cross-modal consistency | hard | vlm | curated | wrong | false | true | wrong because the visual and language channels are inconsistent | true | true | true | false | true | 1 | pick up this | L2 | 1 | 1 | 1 | ref=circle,dst=arrow-head | {"cx": 0.767578125, "cy": 0.265625, "r": 0.10611109852790833} | 1 | 1 | 1 | true | {"x0": 0.7488882538750253, "y0": 0.3599601278117862, "x1": 0.7639332831165537, "y1": 0.2568665760750859} | circle on plate_1 but arrow originates at akita_black_bowl_1 — each channel plausible alone | extracted/spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate/demo_10/frames/t0_rgb.png | false | {
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spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate/demo_10/C1#1 | spatial | 00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate | demo_10 | C1 | C1 | C | Cross-modal consistency | hard | vlm | curated | wrong | false | true | wrong because the visual and language channels are inconsistent | true | true | true | false | true | 1 | put this over there | L3 | 1 | 1 | 1 | ref=circle,dst=arrow-head | {"cx": 0.767578125, "cy": 0.265625, "r": 0.10611109852790833} | 1 | 1 | 1 | true | {"x0": 0.7488882538750253, "y0": 0.3599601278117862, "x1": 0.7639332831165537, "y1": 0.2568665760750859} | circle on plate_1 but arrow originates at akita_black_bowl_1 — each channel plausible alone | extracted/spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate/demo_10/frames/t0_rgb.png | false | {
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"spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate/demo_(...TRUNCATED) | spatial | 00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate | demo_11 | C1 | C1 | C | Cross-modal consistency | hard | vlm | curated | wrong | false | true | wrong because the visual and language channels are inconsistent | true | true | true | false | true | 1 | put this over there | L3 | 1 | 1 | 1 | ref=circle,dst=arrow-head | {"cx": 0.11087328940629959, "cy": 0.4013538062572479, "r": 0.2878306865692139} | 1 | 1 | 1 | true | "{\"x0\": 0.7231969087543102, \"y0\": 0.38156177148558856, \"x1\": 0.7630824154246107, \"y1\": 0.272(...TRUNCATED) | "circle on wooden_cabinet_1 but arrow originates at akita_black_bowl_1 — each channel plausible al(...TRUNCATED) | "extracted/spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_p(...TRUNCATED) | false | {"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBw(...TRUNCATED) | |
"spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate/demo_(...TRUNCATED) | spatial | 00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate | demo_11 | C1 | C1 | C | Cross-modal consistency | hard | vlm | curated | wrong | false | true | wrong because the visual and language channels are inconsistent | true | true | true | false | true | 1 | put this there | L2 | 1 | 1 | 1 | ref=circle,dst=arrow-head | {"cx": 0.55859375, "cy": 0.244140625, "r": 0.0728477954864502} | 1 | 1 | 1 | true | "{\"x0\": 0.7231969087543102, \"y0\": 0.38156177148558856, \"x1\": 0.7630824154246107, \"y1\": 0.272(...TRUNCATED) | circle on cookies_1 but arrow originates at akita_black_bowl_1 — each channel plausible alone | "extracted/spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_p(...TRUNCATED) | false | {"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBw(...TRUNCATED) | |
"spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate/demo_(...TRUNCATED) | spatial | 00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate | demo_13 | C1 | C1 | C | Cross-modal consistency | hard | vlm | curated | wrong | false | true | wrong because the visual and language channels are inconsistent | true | true | true | false | true | 1 | pick up this | L2 | 1 | 1 | 1 | ref=circle,dst=arrow-head | {"cx": 0.7094253897666931, "cy": 0.5052923560142517, "r": 0.05649170517921448} | 1 | 1 | 1 | true | "{\"x0\": 0.7325369054908009, \"y0\": 0.3762579658698022, \"x1\": 0.7668925716991145, \"y1\": 0.2517(...TRUNCATED) | "circle on glazed_rim_porcelain_ramekin_1 but arrow originates at akita_black_bowl_1 — each channe(...TRUNCATED) | "extracted/spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_p(...TRUNCATED) | false | {"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBw(...TRUNCATED) | |
"spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate/demo_(...TRUNCATED) | spatial | 00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_plate | demo_13 | C1 | C1 | C | Cross-modal consistency | hard | vlm | curated | wrong | false | true | wrong because the visual and language channels are inconsistent | true | true | true | false | true | 1 | put this there | L2 | 1 | 1 | 1 | ref=circle,dst=arrow-head | {"cx": 0.11087328940629959, "cy": 0.4013538062572479, "r": 0.2878306865692139} | 1 | 1 | 1 | true | "{\"x0\": 0.7325369054908009, \"y0\": 0.3762579658698022, \"x1\": 0.7668925716991145, \"y1\": 0.2517(...TRUNCATED) | "circle on wooden_cabinet_1 but arrow originates at akita_black_bowl_1 — each channel plausible al(...TRUNCATED) | "extracted/spatial/00_pick_up_the_black_bowl_between_the_plate_and_the_ramekin_and_place_it_on_the_p(...TRUNCATED) | false | {"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBw(...TRUNCATED) |
End of preview. Expand in Data Studio
DrawVLA — Sketch-Prompt Validation
Circle (which) + arrow (where) + caption (what) visual instructions overlaid on LIBERO observations, each labelled with a binary verdict for training a prompt validator or a self-checking VLA:
right— every channel is correct and exactly one reading survives; execute.wrong— a channel is incorrect or the deictic prompt remains under-determined; reject. Formerly ambiguous prompts are retained in this class.
All captions are name-free L2/L3 deixis (for example, "move this there"). Object identity
must come from the circle/arrow sketch, not an explicit noun. n_readings = n_referents x n_destinations is retained as diagnostic metadata. Embedded images use JPEG encoding.
Train and validation rows include label_reason, a human-readable explanation derived
from the channel checks and declared grounding count. The demo-disjoint test split keeps
its ground-truth verdict for scoring but sets reason_available=false and nulls all
reason/rationale fields (label_reason, note, mode/category, failure-channel flags,
severity, and resolution diagnostics), preventing rationale leakage during final testing.
Generated from the failure taxonomy (failure_modes.md). Split into 7
configs by family; each loads independently:
from datasets import load_dataset
ds = load_dataset("shibuina/drawvla-prompt-validation", "crossmodal", split="train")
Configs (37,988 samples)
| config | train | validation | test | total | right / wrong |
|---|---|---|---|---|---|
crossmodal |
1,212 | 150 | 158 | 1,520 | 0 / 1,520 |
directional |
7,338 | 904 | 958 | 9,200 | 0 / 9,200 |
grounding |
5,648 | 695 | 655 | 6,998 | 0 / 6,998 |
language |
2,556 | 308 | 336 | 3,200 | 0 / 3,200 |
physical |
14 | 0 | 4 | 18 | 0 / 18 |
positive |
7,194 | 879 | 1,025 | 9,098 | 9,098 / 0 |
referential |
6,354 | 766 | 834 | 7,954 | 0 / 7,954 |
Fields
image, id, mode, category, tier, solution, verdict, right, reason_available, label_reason, circle_ok/arrow_ok/caption_ok/consistency_ok/sufficient_ok, severity, caption, caption_level, n_referents/n_destinations/n_readings, resolved_by, grounding_kind, rendered_n_readings/render_verified, circle_json, arrow_json, name_explicit, note. The sketch geometry (circle_json, arrow_json, image-plane, normalized) lets
you re-render at any resolution. This release samples only L2 (relational deixis) and L3
(pure deixis); L0/L1 are excluded because they explicitly name the task or object category.
Splits are approximately 80/10/10 by demo; no demo straddles train, validation, or test.
Built with the pipeline in data_gen/ on the OpenVLA modified_libero_rlds demos.
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